Senior Observability Platform Engineer - Scale & OpenTelemetry

CVS Health; Missouri; Hybrid; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Observability Platform Engineer to design, build, and operate large‑scale observability services. You will develop high‑performance backend services using Go, Python, and Java, and lead OpenTelemetry adoption across the enterprise.

You will collaborate with SRE, Cloud, CI/CD, and security teams to ensure reliable, secure, and cost‑efficient observability at scale. You will guide incident response, define performance goals, and deliver a self‑service observability

Qualifications

• 5+ years of experience in Software Engineering.
• 3+ years of experience with observability practices, including SLIs/SLOs/SLAs, alerting, and incident management.
• 3+ years building production‑grade backend services in Go and/or Java.
• 3+ years implementing and operating OpenTelemetry, including OTLP, semantic conventions, and instrumentation patterns.
• 3+ years with cloud‑native and containerized platforms (Docker, Kubernetes, Argo CD).
• 3+ years working with public cloud platforms (AWS, GCP, or Azure).
• 2+ years designing and scaling distributed, high‑volume data pipelines.
• 2+ years of experience with Infrastructure as Code tools such as Terraform or CloudFormation.
• 2+ years of experience with Helmcharts, Kustomize etc
• 2+ years working with Grafana OSS or comparable observability backends (e.g., Grafana, Loki, Tempo, Mimir)
• 2+ years with relational databases (PostgreSQL, MySQL)

Responsibilities

• Develop custom software to drive the observability platform using technologies such as Java Spring Boot, Python, Go-lang etc.
• Design, build, and operate core observability platform services using Go, Python, Java (Spring Boot)
• Support and lead enterprise-wide adoption of OpenTelemetry, including client libraries, semantic conventions, instrumentation patterns, and Collector/agent strategy
• Design, architect and scale high‑throughput, fault‑tolerant telemetry pipelines (logs, metrics, traces) with a focus on performance, reliability, and cost efficiency
• Develop self‑service observability capabilities that simplify onboarding, troubleshooting, and adoption for application teams
• Implement end‑to‑end monitoring of the observability platform itself, defining SLOs, health checks, and alerting
• Collaborate with SRE, Platform, and Cloud teams to establish reliability standards, error budgets, and incident response practices
• Participate in on‑call rotations and lead incident mitigation, root‑cause analysis, and post‑incident reviews
• Automate operational workflows and eliminate manual toil through tooling, CI/CD enhancements, and platform automation
• Ensure secure telemetry pipelines through mTLS, secrets management, and zero‑trust design patterns
• Produce and maintain high‑quality technical documentation, standards, and best practices
• Engage with internal engineering teams to gather requirements, influence roadmap prioritization, and deliver platform improvements
• Provide technical leadership through mentorship, design reviews, architectural guidance, and cross‑team collaboration with principal engineers and engineering leadership

Skills

Software Eng

Observability

Go

Java

OpenTelemetry

Cloud platforms

Data pipelines

IaC (Terraform/CloudFormation)

Kubernetes

Grafana

Education

Bachelor's degree

Tools

Docker

Kubernetes

Argo CD

Terraform

CloudFormation

Helm

Kustomize

PostgreSQL

MySQL

Grafana OSS

Job description

CVS Health is seeking a Senior Observability Platform Engineer to design, build, and operate large‑scale observability services. You will develop high‑performance backend services using Go, Python, and Java, and lead OpenTelemetry adoption across the enterprise.

You will collaborate with SRE, Cloud, CI/CD, and security teams to ensure reliable, secure, and cost‑efficient observability at scale. You will guide incident response, define performance goals, and deliver a self‑service observability